Robust multi objective H2/H∞ Control of nonlinear uncertain systems using multiple linear model and ANFIS

摘要：

This paper considers the multi objective robust control for nonlinear systems using multiple model and adaptive neuro fuzzy inference system (ANFIS). Nonlinear system divided to multiple linear model based on piecewise linearization around set points. For each linear model multi objective robust controller is designed to guarantee both system performance and robust stability. To design the robust controller for each linear model, nonlinearity part of system consider as uncertainty of linear system. The advantages of proposed method are that it can reduce the parameter perturbation and nonlinear uncertainty as well as increased the performance of the system. In this work ANFIS is used to make decision and combine the designed controller for each linear model. Simulation result on a nonlinear benchmark plant shows the effectiveness of the proposed method.

关键词： Robust Nonlinear Multi objective ANFIS H infinity H2

作者: Vahid Azimi Peyman Akhlaghi Mohammad Hossein Kazemi

作者单位: Islamic Azad University, South Tehran Branch,Tehran, Iran Islamic Azad University, South Tehran Branch,Tehran, Iran and member of Young Researchers Club electrical engineering department of Shahed University, Tehran, Iran

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2646-2651

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）